Non-small-cell lung cancer (NSCLC) is one of the leading causes of cancer-related death worldwide, and the 5-year survival rate is still low despite advances in diagnosis and therapeutics. A long noncoding RNA (lncRNA) HOX antisense intergenic RNA (HOTAIR) has been revealed to play important roles in NSCLC carcinogenesis but the detailed mechanisms are still unclear. In the current study, we aimed to investigate the regulation between the lncRNA HOTAIR and p53 in the NSCLC patient samples and cell lines. Our results showed that HOTAIR expression was significantly higher in the cancer tissues than that in the adjacent normal tissue, and was negatively correlated with p53 functionality rather than expression. When p53 was overexpressed in A549 cells, the lncRNA HOTAIR expression was downregulated, and the cell proliferation rate and cell invasion capacity decreased as a consequence. We identified two binding sites of p53 on the promoter region of HOTAIR, where the p53 protein would bind to and suppress the HOTAIR mRNA transcription. Inversely, overexpression of lncRNA HOTAIR inhibited the expression of p53 in A549 cells. Mechanistic studies revealed that HOTAIR modified the promoter of p53 and enhanced histone H3 lysine 27 trimethylation (H3K27me3). These studies identified a specific negative regulation loop of lncRNA HOTAIR and p53 in NSCLC cells, which revealed a new understanding of tumorigenesis in p53 dysfunction NSCLC cells.

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Departmental sources Background: Chest CT has an essential role in the detection and evaluation of novel coronary pneumonia (COVID-19) and has be regarded as a critical supplement for RT-PCR. This study explored the dynamic CT manifestations of COVID-19 at different times and the value of some laboratory indicators for clinical guidance. Material/Methods: This retrospective review included 44 patients who were infected with COVID-19. The dynamic chest CT and laboratory findings were obtained from electronic medical records. The intervals between onset and CT scans and the dynamic changes of the lesions were recorded. The above data were reviewed, sorted, and analyzed by using SPSS 21.0 software. Results: From the time of onset, the dynamic image of the lungs became more complete. Fibrous cord shadow absorption in the lungs were observed. Experimental indicators, biochemical indicators of lymphocytes, and protein series were decreased to varying degrees, while erythrocyte sedimentation, fibrinogen, and D-dimer were increased to varying degrees. Conclusions: The dynamic changes of CT images of lungs of COVID-19 patients, combined with the clinical manifestations and laboratory indicators of patients, can help guide clinical diagnosis and treatment.